Exposome Maps

Exposome Maps provides geospatially resolved multidimensional exposure data to characterize environmental influences on human health.

Key Features:

• Multidimensional Exposure Data: Categorizes exposures into Built Environment (28 exposures including green space, blue space, grey space), Food Environment (4 exposures including the healthy food index), Physico-Chemical Environment (99 exposures including air pollution, biodiversity, weather, light intensity at night, noise, pesticides, electromagnetic fields), and Social Environment (70 exposures including neighborhood socio-economic position, demographic surfaces, social capital, security, mental health, proximity to facilities, energy use, and labor market).
• Systematic Exposome Approach: Implements the exposome concept to capture synthetic chemicals, dietary constituents, psychosocial stressors, physical factors, and associated biological responses.
• Technological Integration: Leverages high-resolution and ultra-high-resolution mass spectrometry for chemical screening (including blood samples) and applies network science for exposure-response analysis, enabling assessments comparable to genomic studies.
• Data Integration: Integrates exposome datasets with large-scale health data and health records covering over 55 million Europeans and cohorts across five urban regions.

Scientific Applications:

• Urban Health Research: Supports the EXPANSE project and studies of the urban exposome's impact on cardio-metabolic and pulmonary diseases by linking exposome data with health records of over 55 million Europeans.
• Personalized Exposure Assessment: Enables personalized exposome assessments in five urban regions across Europe, including ultra-high-resolution mass spectrometry screening for chemicals in blood samples from thousands of participants.
• Life Course Evaluation: Facilitates evaluation of how environmental exposures evolve over an individual's life and influence health outcomes.
• Policy and Urban Planning: Provides data-driven exposure metrics to inform urban planning and public health policy decisions.

Methodology:

Utilizes high-resolution and ultra-high-resolution mass spectrometry for chemical screening, including blood-sample screening. Integrates large-scale health data with exposome information and health records. Applies network science techniques to analyze complex exposure-response relationships.